resnet50每一层的输出是多少
时间: 2023-12-06 11:40:09 浏览: 33
ResNet50是一个50层的深度神经网络,其中包含多个残差块和池化层。每个残差块包括多个卷积层、批量归一化层和激活函数层,其中有些块还包含了投影层。每个池化层则包括一个池化操作和一个规范化层。因此,ResNet50的每一层的输出大小都是不同的,大致如下:
- 输入层:224x224x3
- Conv1:112x112x64
- MaxPool1:56x56x64
- Res2a_branch2a:56x56x64
- Res2a_branch2b:56x56x64
- Res2a_branch2c:56x56x256
- Res2a_branch1:56x56x256
- Res2b_branch2a:56x56x64
- Res2b_branch2b:56x56x64
- Res2b_branch2c:56x56x256
- Res2c_branch2a:56x56x64
- Res2c_branch2b:56x56x64
- Res2c_branch2c:56x56x256
- Res3a_branch2a:28x28x128
- Res3a_branch2b:28x28x128
- Res3a_branch2c:28x28x512
- Res3a_branch1:28x28x512
- Res3b_branch2a:28x28x128
- Res3b_branch2b:28x28x128
- Res3b_branch2c:28x28x512
- Res3c_branch2a:28x28x128
- Res3c_branch2b:28x28x128
- Res3c_branch2c:28x28x512
- Res3d_branch2a:28x28x128
- Res3d_branch2b:28x28x128
- Res3d_branch2c:28x28x512
- Res4a_branch2a:14x14x256
- Res4a_branch2b:14x14x256
- Res4a_branch2c:14x14x1024
- Res4a_branch1:14x14x1024
- Res4b_branch2a:14x14x256
- Res4b_branch2b:14x14x256
- Res4b_branch2c:14x14x1024
- Res4c_branch2a:14x14x256
- Res4c_branch2b:14x14x256
- Res4c_branch2c:14x14x1024
- Res4d_branch2a:14x14x256
- Res4d_branch2b:14x14x256
- Res4d_branch2c:14x14x1024
- Res4e_branch2a:14x14x256
- Res4e_branch2b:14x14x256
- Res4e_branch2c:14x14x1024
- Res4f_branch2a:14x14x256
- Res4f_branch2b:14x14x256
- Res4f_branch2c:14x14x1024
- Res5a_branch2a:7x7x512
- Res5a_branch2b:7x7x512
- Res5a_branch2c:7x7x2048
- Res5a_branch1:7x7x2048
- Res5b_branch2a:7x7x512
- Res5b_branch2b:7x7x512
- Res5b_branch2c:7x7x2048
- Res5c_branch2a:7x7x512
- Res5c_branch2b:7x7x512
- Res5c_branch2c:7x7x2048
注意,这里的输出大小是指每个卷积层或池化层的输出大小,而不是整个网络的输出。整个网络的输出通常是在最后的全连接层中生成的,其大小取决于该层的输出节点数。